A review of ECG-based diagnosis support systems for obstructive sleep apnea

Humans need sleep. It is important for physical and psychological recreation. During sleep our consciousness is suspended or least altered. Hence, our ability to avoid or react to disturbances is reduced. These disturbances can come from external sources or from disorders within the body. Obstructive Sleep Apnea (OSA) is such a disorder. It is caused by obstruction of the upper airways which causes periods where the breathing ceases. In many cases, periods of reduced breathing, known as hypopnea, precede OSA events. The medical background of OSA is well understood, but the traditional diagnosis is expensive, as it requires sophisticated measurements and human interpretation of potentially large amounts of physiological data. Electrocardiogram (ECG) measurements have the potential to reduce the cost of OSA diagnosis by simplifying the measurement process. On the down side, detecting OSA events based on ECG data is a complex task which requires highly skilled practitioners. Computer algorithms can help to detect the subtle signal changes which indicate the presence of a disorder. That approach has the following advantages: computers never tire, processing resources are economical and progress, in the form of better algorithms, can be easily disseminated as updates over the internet. Furthermore, Computer-Aided Diagnosis (CAD) reduces intra- and inter-observer variability. In this review, we adopt and support the position that computer based ECG signal interpretation is able to diagnose OSA with a high degree of accuracy

Development and Growth of a Large Multispecialty Certification Examination: Sleep Medicine Certification—Results of the First Three Examinations

This paper summarizes the results of the first three examinations (2007, 2009, and 2011) of the Sleep Medicine Certification Examination, administered by its six sponsoring American Board of Medical Specialty Boards. There were 2,913 candidates who took the 2011 examination through one of three pathways—self-attested practice experience, previous certification by the American Board of Sleep Medicine, or formal Sleep Medicine fellowship training. The 2011 exam was the last administration in which candidates who had not previously been admitted could take it without completion of formal Sleep Medicine fellowship training. As expected, the number of candidates admitted to the 2011 examination through the practice experience pathway increased, and the overall scores of these candidates were on average lower than the other candidates. Consequently, the pass rate for all first takers of the 2011 examination (65%) was lower than that observed from the 2009 examination (78%) and the 2007 examination (73%). For each administration, candidates admitted through the fellowship training pathway scored the highest; over 90% of them passed the 2011 and 2009 examinations

Supporting American Academy of Neurology’s new clinical practice guideline on evaluation and management of insomnia in children with autism

Rosen CL, Aurora RN, Kapur VK, et al. Supporting American Academy of Neurology’s new clinical practice guideline on evaluation and management of insomnia in children with autism. J Clin Sleep Med . 2020;16(6):989–990

Psychometric Performance and Responsiveness of the Functional Outcomes of Sleep Questionnaire and Sleep Apnea Quality of Life Index in a Randomized Trial: The HomePAP Study

Study objectivesMeasures of health-related quality of life (HRQL) specific for sleep disorders have had limited psychometric evaluation in the context of randomized controlled trials (RCTs). We investigated the psychometric properties of the Functional Outcomes of Sleep Questionnaire (FOSQ) and Sleep Apnea Quality of Life Instrument (SAQLI). We evaluated the FOSQ and SAQLI construct and criterion validity, determined a minimally important difference, and assessed for associations of responsiveness to baseline subject characteristics and continuous positive airway pressure (CPAP) adherence in a RCT population.DesignSecondary analysis of data collected in a multisite RCT of home versus laboratory-based diagnosis and treatment of obstructive sleep apnea (HomePAP trial).ParticipantsIndividuals enrolled in the HomePAP trial (n = 335).InterventionsN/A.Measurement and resultsThe FOSQ and SAQLI subscores demonstrated high reliability and criterion validity, correlating with Medical Outcomes Study 36-Item Short Form Survey domains. Correlations were weaker with the Epworth Sleepiness Scale (ESS). Both the FOSQ and SAQLI scores improved after 3 mo with CPAP therapy. Averaging 4 h or more of CPAP use was associated with an increase in the FOSQ beyond the minimally important difference. Baseline depressive symptoms and sleepiness predicted FOSQ and SAQLI responsiveness; demographic, objective obstructive sleep apnea (OSA) severity and sleep habits were not predictive in linear regression.ConclusionsThe FOSQ and SAQLI are responsive to CPAP intervention, with the FOSQ being more sensitive to differences in CPAP adherence than the SAQLI. These instruments provide unique information about health outcomes beyond that provided by changes in physiological measures of OSA severity (apnea-hypopnea index).Clinical trial informationPortable Monitoring for Diagnosis and Management of Sleep Apnea (HomePAP) URL: http://clinicaltrials.gov/show/NCT00642486. NIH clinical trials registry number: NCT00642486